Přístupnostní navigace
E-application
Search Search Close
Project detail
Duration: 01.01.2022 — 31.12.2022
Funding resources
Evropská unie - Interní grantová soutěž
- whole funder (2022-01-01 - 2022-12-31)
On the project
The project focuses on developing a novel algorithm for an important signal processing application – the acceleration of the dynamic magnetic resonance imaging (MRI). The task corresponds to signal reconstruction from incomplete observations. New algorithm for the reconstruction will be developed, enabling acceleration of the extremely time-consuming and expensive procedure of the MRI acquisition. The method will be based on iterative approaches but will also employ the modern methodology of deep learning via the unfolding approach.
Mark
FEKT-K-22-7772
Default language
English
People responsible
Vitouš Jiří, Ing. - fellow researcherMokrý Ondřej, Ing. - principal person responsible
Units
Department of Telecommunications- (2022-01-01 - 2022-12-31)Faculty of Electrical Engineering and Communication- (2022-01-01 - 2022-12-31)
Results
MOKRÝ, O.; VITOUŠ, J. Unfolded Low-rank + Sparse Reconstruction for MRI. In Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 271-275. ISBN: 978-80-214-6030-0.Detail
MOKRÝ, O.; VITOUŠ, J. Unrolled L+S decomposition for compressed sensing in magnetic resonance imaging. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2022, vol. 24, no. 3, p. 86-93. ISSN: 1213-1539.Detail
NOVÁK, V. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. ISBN: 978-80-214-6029-4.Detail